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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of consumers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consumers and their behaviors or choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sleeper
    -0.67
    tein
    -0.66
     Stall
    -0.65
    apo
    -0.64
    SourceFile
    -0.61
    staff
    -0.61
     Lazarus
    -0.60
    inx
    -0.59
     Devils
    -0.58
    apa
    -0.57
    POSITIVE LOGITS
    umers
    1.34
    hip
    0.90
    cript
    0.88
    ervatives
    0.88
     beware
    0.87
    erv
    0.85
    umer
    0.80
    consumer
    0.79
    iband
    0.77
    ele
    0.76
    Activations Density 0.027%

    No Known Activations